Run: 2026-09-03-01M1K5WJGG44HMG4WM544P4GEV

Run Details

Duration:
58.5s
Cost:
$0.015244
Provider:
Meta

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
Rain hammered Soho after midnight and turned Dean Street into a slick black mirror. The green neon of The Raven's Nest bled down the wet brick and pooled in the gutter. Harlow Quinn stood opposite, collar up, hands in the pockets of her rain jacket. Water ran from the brim of her cap and cut lines through the sodium glare reflected on the pavement. Her salt-and-pepper crop caught the light. Her sharp jaw set. The worn leather watch on her left wrist ticked against her pulse. Three hours of stillness. Military precision held her shoulders square while the rest of the street shivered and hunched. The bookshelf at the back of the Nest moved. Quinn saw it through the front window, past the old maps and the black-and-white photographs on the wall. A seam of light appeared where no door should exist. A man slipped through. Olive skin. Short dark curls plastered to his forehead. Saint Christopher medallion flashed at his throat when he turned his head. The scar on his left forearm caught the bar light, pale and raised from wrist to elbow. Tomás Herrera. Quinn pushed off the wall. Herrera locked the side door behind him and pulled his jacket tight. He scanned the street. His warm brown eyes snagged on her silhouette across the road. For a half second both held still, rain drumming on awnings and bin lids. Then he ran. Quinn broke into a sprint. Herrera cut east toward Wardour Street. His boots slapped through puddles and threw up sheets of water that vanished under taxi headlights. Quinn cut the distance. Her jacket snapped behind her. Water sheeted off her cap. Her breath came in sharp bursts and fogged and tore. "Tomás! Police! Stop!" He did not stop. He vaulted a stack of beer crates outside a shuttered club and knocked them askew. Bottles rolled and smashed. Quinn hurdled the mess without breaking stride. Her boots found purchase on the slick cobbles. A delivery cyclist swerved. She threw out a hand and spun past his handlebars. Horns blared. Herrera hit a narrow alley between two restaurants. Steam poured from a vent and mixed with rain into a low cloud that stank of grease and bleach. Quinn followed the heat on her face. He shoved through a fire door. It banged open and spat him onto Greek Street. She shouldered through a half second after. The door slammed her back and she absorbed the blow and kept her feet. The street opened. Crowds thinned under the rain. Herrera dodged a couple beneath a shared umbrella and clipped the man's shoulder. The umbrella inverted. The woman shouted. Quinn raised a palm as she passed. "Police! Out of the way!" Her voice cut through the rain. Heads turned. No one moved fast enough to help. Herrera glanced over his shoulder. Fear widened his eyes and tightened his mouth. He cut north. His medallion bounced against his chest with each stride. Quinn closed the gap to ten feet. She reached. Her fingers brushed his sodden jacket. He twisted and ripped free. Fabric tore at the seam. He stumbled and caught himself on a parked van and used the momentum to launch toward the main road. Camden High Street stretched ahead, wet and bright with reflected shop signs and bus lights. Traffic crawled. Rain hammered roofs and hoods. Herrera sprinted between a double-decker and a black cab. The cab braked. Tyres hissed. Quinn slid over the bonnet. Her palms smacked the wet metal and she rolled and landed and ran. Water sprayed from her cuffs. Her watch face gleamed under the street lamp. "You can't outrun this, Herrera!" "You don't know what you chase!" His words flung back over his shoulder, ragged between breaths. He veered left toward the mouth of an old Underground entrance. The tiled arch stood dark. No light burned inside. No roundel glowed. Plywood covered half the stairwell and a chain hung loose across the gap. A sign read CLOSED FOR MAINTENANCE. Graffiti snarled across it in silver and red. Herrera did not slow. He ducked the chain and dropped down the steps two at a time. Quinn hit the arch a breath later. Rain thundered on the pavement behind her. The stairwell swallowed sound. The air changed. Cold rose from the dark and carried a smell of wet stone and iron and something sweet, like incense burned too long. She paused at the lip of the descent. Water streamed from her jacket and pattered on the concrete steps. Twenty steps down, Herrera fumbled in his pocket and pulled out a small off-white object. Bone. Even in the gloom it showed against his palm. He pressed it to a crack in the wall beside a rusted service door. The wall shivered. Mortar lines pulsed with dull amber light. The service door shuddered and pulled inward with a sigh of stale air. Beyond it, light flickered. Voices murmured. A bazaar sprawled where no station should exist. Stalls crowded a vaulted platform. Lanterns burned without flame and cast no smoke. Tables displayed jars of opalescent liquid, bundles of dried herbs that twitched, daggers that hummed, paper charms that fluttered though no wind touched them. People crowded the aisles, some human in shape, some not, all bartering in low tones that echoed off damp tiles. The Veil Market. Abandoned Tube station beneath Camden. Full moon three nights past and it had moved here, open now, hungry for trade. Herrera looked back. Sweat mixed with rain on his olive skin. His chest heaved. His hand clamped his scar as if it ached. "Turn around, Detective. You have no token. You have no protection. This place eats coppers." Quinn braced a hand on the wet rail. Droplets fell from her chin. Her brown eyes fixed on the threshold, then on him. She saw the bone token in his fist, slick with rain and blood where the edge bit his skin. "You administered to them. You patched them up when they bled. That ties you to the clique. You think I let you walk back in there and disappear?" "Think about your partner." He spat the words and his voice cracked. "Morris. You lost him and you never learned why. You follow me in there and you learn. And you wish you hadn't." The name hit harder than the cold. Quinn flinched. Her jaw locked. Her left wrist flexed and the leather strap creaked. DS Morris. Three years in the ground. Case file stamped unexplained. She had chased that ghost through every back room and bar and the Nest had whispered answers she could not yet parse. Herrera slipped through the door. The amber light licked his shoulders and threw his shadow long across the tiles. The service door began to close. The light dimmed. The market hummed behind it, alive, indifferent, dangerous. Quinn stared at the narrowing gap. Rain drummed on the street behind her. Water pooled around her boots and ran down the steps toward the dark. Her hand left the rail. Her foot found the first step down. The other foot followed. "Hey! Herrera! You don't leave me on this side!" She lunged for the door before the stone sealed.
created_at"2026-09-03T08:24:10.518Z" 9/3/2026, 8:24:10 AM
model"meta/muse-spark-1.2-20260805"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency36483
moderation_latency(null)
generation_time58449
tokens_prompt1104
tokens_completion1741
native_tokens_prompt989
native_tokens_completion3296
native_tokens_completion_images0
native_tokens_reasoning1734
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"auto"
usage0.01524425
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user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
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api_type"completions"
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upstream_id"resp_6a992ebfb253f6c8a7dc4e22"
provider_responses
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is_byokfalse
latency20833
model_permaslug"meta/muse-spark-1.2-20260805"
provider_name"Meta"
status200
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workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences9
tagDensity0.111
leniency0.222
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1201
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
66.69% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1201
totalAiIsms8
found
0
word"pulse"
count1
1
word"scanned"
count1
2
word"thundered"
count1
3
word"gloom"
count1
4
word"pulsed"
count1
5
word"flickered"
count1
6
word"fluttered"
count1
7
word"echoed"
count1
highlights
0"pulse"
1"scanned"
2"thundered"
3"gloom"
4"pulsed"
5"flickered"
6"fluttered"
7"echoed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences138
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences138
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences146
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1201
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions55
wordCount1104
uniqueNames19
maxNameDensity1.27
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Dean1
Street4
Raven1
Nest3
Quinn14
Christopher1
Herrera11
Wardour1
Greek1
High1
Underground1
Veil1
Market1
Tube1
Camden2
Morris1
Rain4
Water5
persons
0"Raven"
1"Nest"
2"Quinn"
3"Christopher"
4"Herrera"
5"Market"
6"Morris"
7"Rain"
8"Water"
places
0"Soho"
1"Dean"
2"Street"
3"Wardour"
4"Greek"
5"High"
6"Camden"
globalScore0.866
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences81
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1201
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences146
matches
0"chased that ghost"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean32.46
std25.87
cv0.797
sampleLengths
014
191
29
370
42
55
641
73
85
946
103
1154
1270
1334
145
1540
1644
1767
185
196
2060
2160
2258
233
2491
2523
2623
2715
2842
2928
3034
3154
3219
3317
3442
359
369
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences138
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs200
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences146
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1110
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.008108108108108109
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences146
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences146
mean8.23
std5.37
cv0.653
sampleLengths
014
117
214
319
46
54
612
74
815
99
1018
1110
124
132
147
1512
1617
172
185
1912
204
2111
2214
233
245
256
2616
274
285
295
3010
313
324
3315
344
357
368
374
3810
392
408
4119
427
436
449
457
4614
473
485
4913
54.34% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.3835616438356164
totalSentences146
uniqueOpeners56
26.25% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences127
matches
0"Then he ran."
ratio0.008
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount38
totalSentences127
matches
0"Her salt-and-pepper crop caught the"
1"Her sharp jaw set."
2"He scanned the street."
3"His warm brown eyes snagged"
4"His boots slapped through puddles"
5"Her jacket snapped behind her."
6"Her breath came in sharp"
7"He did not stop."
8"He vaulted a stack of"
9"Her boots found purchase on"
10"She threw out a hand"
11"He shoved through a fire"
12"It banged open and spat"
13"She shouldered through a half"
14"Her voice cut through the"
15"He cut north."
16"His medallion bounced against his"
17"Her fingers brushed his sodden"
18"He twisted and ripped free."
19"He stumbled and caught himself"
ratio0.299
26.93% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount110
totalSentences127
matches
0"The green neon of The"
1"Harlow Quinn stood opposite, collar"
2"Water ran from the brim"
3"Her salt-and-pepper crop caught the"
4"Her sharp jaw set."
5"The worn leather watch on"
6"Military precision held her shoulders"
7"The bookshelf at the back"
8"Quinn saw it through the"
9"A seam of light appeared"
10"A man slipped through."
11"Saint Christopher medallion flashed at"
12"The scar on his left"
13"Quinn pushed off the wall."
14"Herrera locked the side door"
15"He scanned the street."
16"His warm brown eyes snagged"
17"Quinn broke into a sprint."
18"Herrera cut east toward Wardour"
19"His boots slapped through puddles"
ratio0.866
39.37% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences127
matches
0"Even in the gloom it"
ratio0.008
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount2
matches
0"His boots slapped through puddles and threw up sheets of water that vanished under taxi headlights."
1"Tables displayed jars of opalescent liquid, bundles of dried herbs that twitched, daggers that hummed, paper charms that fluttered though no wind touched them."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"He spat (spit)"
dialogueSentences9
tagDensity0.111
leniency0.222
rawRatio1
effectiveRatio0.222
87.8600%